/RNAseq

Primary LanguageJupyter Notebook

RNAseq

using Kallisto, salmon DESeq2, edgeR

kallisto manual

salmon manual

edgeR

kallisto to DESeq2

kallisto to DESeq2_another ref

Index

Ⅰ. Preparation process

Ⅱ. In Linux

Ⅲ. In R - to DESeq2 or edgeR

Ⅳ. In R - visualize

Ⅰ. Preparation process

  1. SRA-Toolkit download – https://github.com/ncbi/sra-tools/wiki/HowTo:-fasterq-dump
1.1. mkdir download -> cd download
1.2. wget https://ftp-trace.ncbi.nlm.nih.gov/sra/sdk/3.0.2/sratoolkit.3.0.2-ubuntu64.tar.gz
1.3. tar –zxvf sratoolkit.3.0.2-ubuntu64.tar.gz	
1.4. cd sratoolkit.3.0.2-ubuntu64/bin 
1.5. pwd 
1.6. export PATH=$PATH:'$pwd'
  # convert to environment variable
  case1 echo "export PATH=$PATH:$pwd" >> ~/.bashrc >> source ~/.bashrc
  case2 cd  >> vi .bashrc >> add 'export PATH=$PATH:$pwd' in the last line
  1. RNAseq program download
2.1 conda install -c bioconda kallisto
2.2 conda install -c bioconda salmon
  1. Creating Metadata
3.1 Go to NCBI
3.2 Search 'Oryza sativa' and filtering (Libarylayout = Paired, LibrarySelection = cDNA, Instrument = Illuminihiseq/ Illumine nova seq 6000/ next seq 500, Organism = Oryza sativa Japonica...etc)
3.3 click 'send to' > select 'run selector' click 'go' > download(metadata) > open as xlsx file > data select

Ⅲ. In R - to DESeq2, edgeR

Ⅳ. In R - visualize.R

Ⅴ. Agrigo v2